Journal article

Regionally Enhanced Global (REG) 4D-Var

Michael A Herrera, Istvan Szunyogh, Adam Brainard, David D Kuhl, Karl Hoppel, Craig H Bishop, Teddy R Holt, Qingyun Zhao, Sabrina Rainwater

Monthly Weather Review | American Meteorological Society | Published : 2018

Abstract

A regionally enhanced global (REG) data assimilation (DA) method is proposed. The technique blends high resolution model information from a single or multiple limited-area model domains with global model and observational information to create a regionally enhanced analysis of the global atmospheric state. This single analysis provides initial conditions for both the global and limited-area model forecasts. The potential benefits of the approach for operational data assimilation are (i) reduced development cost, (ii) reduced overall computational cost, (iii) improved limited-area forecast performance from the use of global information about the atmospheric flow, and (iv) improved global fore..

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University of Melbourne Researchers

Grants

Awarded by ONR


Awarded by NRL


Funding Acknowledgements

This study was conducted in collaboration with two of the Naval Research Laboratory institutions, NRL Monterey and NRL D.C. Funding was provided from a Texas A&M University Diversity Fellowship and ONR Grants N00014-12-1-0785, N00014-16-1-3011, and N00014-18-1-2509 and NRL Award N00173-16-1-3011.